Become a Master in a Simple Neural Network in Just Three Steps
                     Become a Master in 
a Simple Neural 
Network in Just 
Three Steps 
 
 
 
 
 
 
Right form 1970's till now there has been some significant 
development and research going in the field like science, 
medicine, social media platforms, etc. These researches have 
some resulted in some of the most efficient tools to society. In 
the list, a simple neural network is one considerable thing. 
 
What is a simple neural network? 
 
It is the statically learning, models that are inspired by different 
biological neural networks like the central nervous system such 
as the brain that are used in some machine learning. This 
connection found among the network can be systematically 
adjusted depend on the available inputs and outputs. This also 
makes them ideal for supervised learning. 
 
Supervised Learning 
 
Here, the inputs and the outputs are matched as if it tells the 
network about the question and the answer. When you come 
across with lots of such input and output pairs, you will come 
across different examples. So you will be provided with a set of 
questions and you will need to predict the answers. By 
comparing the expected and the predicted answers allow you 
the find the right ability of the network. 
 
Unsupervised Learning 
 
In this method, only the input data will be found and passed to 
the network. It represents what you can make out of the data 
and it leaves the network as you try to discover a certain part of 
the organizational structure. This type of learning can be 
implemented in both cases of clustering and association 
problems. 
 
In the case of a cluster, the result will be found by considering 
the number of groups available in the data depending on some 
specific features like colors and size. For association, the 
network will search for some rules to describe some 
relationship found between some portion in your data like 
people who buy iPads, smokers, etc. 
 
Reinforcement Learning 
 
To make it simple, it can be stated as a combination of 
supervised and unsupervised training. This will be carried out in 
the restricted amount of information that is provided about the 
input data. This information will be represented in the form of a 
statement as the prediction as good or bad based on the 
algorithm. If there is anything to improve, it will be left to your 
own decision. 
 
Final thoughts 
 
When you are choosing to do this simple neural network, you 
need to make the right-center to yield more knowledge out of 
it. Make the right step and reach success as soon as possible!